{"id":"W2027483825","doi":"10.1016/j.disc.2007.11.048","title":"The coolest way to generate combinations","year":2008,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; String (physics); Prefix; Order (exchange); Discrete mathematics; Ranking (information retrieval); Position (finance); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489561,0.00115263,0.001028274,0.001567265,0.001643207,0.003165461,0.001595535,0.001288629,0.02070136],"category_scores_gemma":[0.011075,0.0008952275,0.001546696,0.001067533,0.002070282,0.004647851,0.004655037,0.002978184,0.006041852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430019,"about_ca_system_score_gemma":0.0008896964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002672241,"about_ca_topic_score_gemma":0.0006544402,"domain_scores_codex":[0.9975277,0.0006658449,0.0001819999,0.000470331,0.0009360913,0.0002180619],"domain_scores_gemma":[0.9953237,0.001278204,0.0001654544,0.00237054,0.0007039545,0.0001582081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001269398,0.0001852679,0.001961223,0.0006853209,0.0002581267,0.0005919995,0.0008415398,0.02170348,0.03667109,0.3335488,0.03950147,0.5627824],"study_design_scores_gemma":[0.0002032434,0.00037032,0.0007233824,0.0002923115,0.0002261941,0.001742522,0.0003284571,0.1151621,0.05200702,0.7333719,0.09543075,0.0001417621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02940967,0.0005844759,0.939824,0.001372191,0.0007241886,0.0002146921,0.0006205956,0.003799753,0.02345046],"genre_scores_gemma":[0.2572134,0.0004210123,0.7123951,0.0009382984,0.0003366359,0.0004730692,0.001189763,0.003411007,0.02362156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02070136,"threshold_uncertainty_score":0.06925291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448269265550412,"score_gpt":0.2550308923122633,"score_spread":0.2305481996567592,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}